- Python 3.9+
This project uses the following data sources:
| Data source | Availability | Sensors | Data | Date range | No. observations (used) | Area covered |
|---|---|---|---|---|---|---|
| GEDI Level 2A (v002) | public | Space-borne LiDAR | Full-waveform LiDAR | 2019-2020 | 150 Mio. | 7.4 Mio. ha |
| Estimativa de biomassa na Amazonia (EBA) | proprietary | Aerial LiDAR | Point cloud LiDAR | 2016-2018 | 905 | 574'000 ha |
| Sustainable Landscapes (SL) | public | Aerial LiDAR | Point cloud LiDAR | 2008, 2011-2018 | 186 | 40'000 |
| EU Joint Research Council (JRC) Annual Change dataset | public | Space-borne multispectral imagery (Landsat) | Landcover Raster | 1992-2020 | - |
An geographic map of all air-borne LiDAR data with metadata is available here. The dataset created in this study will be made available upon publication.
├── LICENSE
├── Makefile <- Makefile with commands like `make init` or `make lint-requirements`
├── README.md <- The top-level README for developers using this project.
|
├── notebooks <- Jupyter notebooks. Naming convention is a number (for ordering),
| | the creator's initials, and a short `-` delimited description, e.g.
| | `1.0_jqp_initial-data-exploration`.
│ ├── exploratory <- Notebooks for initial exploration.
│
├── report <- Generated analysis as HTML, PDF, LaTeX, etc.
│ ├── figures <- Generated graphics and figures to be used in reporting
│ └── sections <- LaTeX sections. The report folder can be linked to your overleaf
| report with github submodules.
│
├── requirements <- Directory containing the requirement files.
│
├── setup.py <- makes project pip installable (pip install -e .) so src can be imported
├── src <- Source code for use in this project.
│ ├── __init__.py <- Makes src a Python module
│ │
│ ├── data_loading <- Scripts to download or generate data
│ │
│ ├── preprocessing <- Scripts to turn raw data into clean data and features for modeling
| |
│ ├── models <- Scripts to train models and then use trained models to make
│ │ predictions
│ │
│ └── tests <- Scripts for unit tests of your functions
│
└── setup.cfg <- setup configuration file for linting rules
To automatically format your code, make sure you have black installed (pip install black) and call
black .
from within the project directory.
Project template created by the Cambridge AI4ER Cookiecutter.